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A Comparison of Atmospheric Boundary Layer Height Determination Methods Using GNSS Radio Occultation Data.

Authors :
Qiu, Cong
Wang, Xiaoming
Li, Haobo
Zhou, Kai
Zhang, Jinglei
Li, Zhe
Liu, Dingyi
Yuan, Hong
Source :
Atmosphere; Nov2023, Vol. 14 Issue 11, p1654, 17p
Publication Year :
2023

Abstract

The accurate determination of Atmospheric Boundary Layer Height (ABLH) is crucial in various atmospheric studies and practical applications. In this study, we present a comprehensive comparative analysis of five distinct methods for estimating ABLH using Global Navigation Satellite System (GNSS) Radio Occultation (RO) data. These methods encompass the use of bending angle and refractivity profiles, namely Minimum Gradient methods of the Bending Angle (MGBA) and Refractivity (MGR) profiles, breaking point, Wavelet Covariance Transform (WCT), and Double-Parameter Model Function (DPMF). GNSS-RO data from COSMIC-2 and Spire are used. To establish robust validation, radiosonde data are employed as a reference, ensuring the reliability of our findings. The results reveal notable variations in the performances of these ABLH estimation methods. Specifically, the MGBA, MGR, breaking point, and DPMF methods exhibit strong correlations with the reference data. Conversely, the WCT method displays weaker correlations, higher biases, and elevated root-mean-square-errors, suggesting limitations in capturing the true ABLH. Furthermore, we remove outlier screening to facilitate a comparison of the differences among the five methods. The WCT and DPMF methods can detect strong variations in the profiles near the Earth's surface and consider them as ABLH. However, these variations are caused by errors. The MGBA method emerges as a reliable and stable option, while the WCT and DPMF methods should be used with caution due to the lower quality of the GNSS-RO profiles near the Earth's surface. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20734433
Volume :
14
Issue :
11
Database :
Complementary Index
Journal :
Atmosphere
Publication Type :
Academic Journal
Accession number :
173832044
Full Text :
https://doi.org/10.3390/atmos14111654